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Software Functionality Revealed in Detail
We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.
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Amazon Debuts Redshift, a Petabyte-scale Data Warehouse in the Cloud
Amazon is pulling out all the stops in its bid to get ahead in the highly competitive data warehouse market by announcing the limited preview of Amazon Redshift

data warehouse in  Debuts Redshift, a Petabyte-scale Data Warehouse in the Cloud Amazon is pulling out all the stops in its bid to get ahead in the highly competitive data warehouse market by announcing the limited preview of Amazon Redshift , Amazon´s new data warehouse offering. Redshift is a petabyte-scale, fully managed data warehouse service in the cloud. Amazon customers will be able to deploy their data warehouse solutions and analyze large amounts of information by using the same set of business intelligence and

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Software Functionality Revealed in Detail

We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.

Get free sample report
Compare Software Solutions

Visit the TEC store to compare leading software by functionality, so that you can make accurate and informed software purchasing decisions.

Compare Now

Warehouse Management Systems (WMS)

A warehouse management system (WMS) should provide database and user-level tools in order for a company to optimize its storage facilities while at the same time providing user level task direction and activity support. The WMS should enable warehouse operators to optimize pick, put-away, and replenishment functions by employing powerful system logic to select the best locations and sequences. 

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The Evolution of a Real-time Data Warehouse


Real-time data warehouses are common in some organizations. This article reviews the basic concepts of a real-time data warehouse and it will help you determine if your organization needs this type of IT solution.

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Distilling Data: The Importance of Data Quality in Business Intelligence


As an enterprise’s data grows in volume and complexity, a comprehensive data quality strategy is imperative to providing a reliable business intelligence environment. This article looks at issues in data quality and how they can be addressed.

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Teradata Debuts Data Warehouse Appliance: In-memory Tech Ready for High-performance Analytics


During the Teradata Partners User Group Conference, the data warehouse and analytics company launched Teradata Data Warehouse Appliance 2750, which integrates the enterprise data warehouse application with in-memory technology, especially designed for processing advanced analytics. Teradata’s new appliance incorporates the company’s latest “intelligent” in-memory technology as well as the most

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Data Warehousing in the Big Data Era: Are You BIReady?


Netherlands-based BIReady automates the process of designing, deploying, and maintaining a data warehousing solution, allowing the optimization of all necessary BI and analytics tasks. Read this TEC product note from TEC senior BI and data management analyst Jorge Garcia to learn more about how BIReady is meeting its goal of helping companies become "BI ready."

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Competing in a Big-box World: How Retailers Can Leverage Technology to Thrive in Today’s Retail Environment


Industry analysts and retail executives agree that, although competitive prices are a must, “low price” as a leading strategy will no longer lead to long-term business success. To successfully compete, midsized retailers must carve out a niche based on creative strategies, including better and more localized product assortments, flawless price management and execution, and optimized inventory down to the store level.

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Big Data Comes of Age: Shifting to a Real-time Data Platform


New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose-built platforms more capable of meeting the real-time needs of more demanding end users and the opportunities presented by big data. Read this white paper to learn more about the significant strategy shifts underway to transform traditional data ecosystems by creating a unified view of the data terrain necessary to support big data and the real-time needs of innovative companies.

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Warehouse Management System: Tempo Beverages


Tempo Beverages, the second-leading Israeli beer and soft drink producer, importer, and distributor turned to Made4net's warehouse management system (WMS), WarehouseExpert, to consolidate all distribution operations into their central distribution center. Learn how Made4net's swift implementation saved Tempo from loss of inventory and a cumbersome paper-based system.

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Got Big Data? Net Big Dollars!


Data is growing at unprecedented rates. Data on customers, producers, underwriting, claims, and service providers is just part of the picture. This increase is being driven by social media and mobile devices adding text and other nonstructured, as well as structured, data. Read this report to find out about the tremendous payback that comes from managing huge repositories of data.

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Enterprise Data Management: Migration without Migraines


Moving an organization’s critical data from a legacy system promises numerous benefits, but only if the migration is handled correctly. In practice, it takes an understanding of the entire ERP data lifecycle combined with industry-specific experience, knowledge, and skills to drive the process through the required steps accurately, efficiently, and in the right order. Read this white paper to learn more.

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Big Data Analytics: Profiling the Use of Analytical Platforms in User Organizations


While terabytes used to be synonymous with big data warehouses, now it’s petabytes, and the rate of growth in data volumes continues to escalate as organizations seek to store and analyze greater levels of transaction details, as well as Web- and machine-generated data, to gain a better understanding of customer behavior and drivers. This report examines the rise of "big data" and the use of analytics to mine that data.

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